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Paper Citation Record · LEDGER

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1811.03575.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1811.03575 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:40.930066Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T00:39:41.158143Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87f6e213-29be-490d-9aab-47ce011963fc · inbound

ViewPCL: a point cloud based active learning method for multi-view segmentation cites this paper.

ViewPCL: a point cloud based active learning method for multi-view segmentation Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:41.163836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:39:40.930066Z digest=sha256:e563a90e86018f75d77344d6c244c1bd4f85e25dad21d7f6b01df0ce2ee384a8